Estimating gene networks from expression data and binding location data via boolean networks

Osamu Hirose, Naoki Nariai, Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Satoru Miyano

研究成果: ジャーナルへの寄稿記事

9 引用 (Scopus)

抜粋

In this paper, we propose a computational method for estimating gene networks by the Boolean network model. The Boolean networks have some practical problems in analyzing DNA microarray gene expression data: One is the choice of threshold value for discretization of gene expression data, since expression data take continuous variables. The other problem is that it is often the case that the optimal gene network is not determined uniquely and it is difficult to choose the optimal one from the candidates by using expression data only. To solve these problems, we use the binding location data produced by Lee et al. [8] together with expression data and illustrate a strategy to decide the optimal threshold and gene network. To show the effectiveness of the proposed method, we analyze Saccharomyces cerevisiae cell cycle gene expression data as a real application.

元の言語英語
ページ(範囲)349-356
ページ数8
ジャーナルUnknown Journal
3482
発行部数III
出版物ステータス出版済み - 2005
外部発表Yes

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)

これを引用

Hirose, O., Nariai, N., Tamada, Y., Bannai, H., Imoto, S., & Miyano, S. (2005). Estimating gene networks from expression data and binding location data via boolean networks. Unknown Journal, 3482(III), 349-356.